MAY 15: Health Data Science Distinguished Speaker Series: Dr. David Donoho, Stanford University
CANCELED: This seminar has unfortunately been canceled.
“Data Science: The Next 50 Years”
Abstract: Over the last 10 years, Data Science and Data Engineering have exploded in size and global significance. These are now highly dynamic fields reinventing themselves continually and quietly driving breathtaking practical achievements. They stand behind many of the most impressive stories garnering media attention, under the flag of “AI”. While public intellectuals and politicians worldwide worry about the dangers of AI, the public discourse can seem vague mysterious and almost magical. Viewing today’s rapid AI development as driven by Data Science’s inherent dynamic properties equips us with superpower to see today’s situation much more clearly and make the future much more predictable. We can see that Data Science is about to get much, much more effective, very soon, as forces which have long been gathering propel us into a new era.
Bio: Dr. David Donoho is the Anne T. and Robert M. Bass Professor in the Humanities and Sciences, and Professor of Statistics at Stanford University. He is a highly distinguished scholar whose list of honors includes: elected membership to the US National Academy of Sciences and foreign associate of the French Academy of Sciences; MacArthur Fellow; COPSS Presidents’ Award; John von Neumann Prize of the Society for Industrial and Applied Mathematics; Norbert Wiener Prize in Applied Mathematics; fellow of the American Mathematical Society; Shaw Prize for Mathematics; Gauss Prize from the International Mathematical Union. He holds Honorary Doctorates from the University of Chicago, the University of Waterloo, Ecole Polytechnique Fédèrale de Lausanne, and The Technion.
Dr. Donoho’s theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems. His applied research interests have ranged from data visualization to various problems in scientific signal processing, image processing, and inverse problems.
Dr. Donoho completed his undergraduate studies at Princeton University, under the direction of John Tukey, and his PhD from Harvard University, under the supervision of Peter Huber. He was previously on the faculty of the University of California, Berkeley before moving to Stanford.
Learn more about Dr. Donoho’s research here.